Head of Data
Cuspai
| Company | Cuspai |
| Category | Data & Analytics |
| Location | Singapore |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Director |
| Salary | Not stated by the employer |
| Posted | 31 Jul 2026 |
| Last verified | 6 Aug 2026 |
| Source | Employer ATS (ashby) |
Description
ABOUT CUSPAI
CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering.
We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock.
We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters.
We’re on the cusp of the on-demand materials era. Join us.
THE ROLE
Due to rapid company growth and expanding external data partnerships, we are seeking a Head of Data to lead the team and set CuspAI’s data strategy.
YOUR IMPACT
This is a rare opportunity to define the data foundation of a frontier AI company, working closely with world-leading AI experts, materials science researchers and partnerships to drive the expansion of our data portfolio and consequent modeling capabilities.
WHAT YOU WILL DO
DATA STRATEGY
- Build and own CuspAI's data strategy in close partnership with the leadership team, translating research and commercial priorities into a clear, prioritised view of the data assets we need and the sequence in which we need them.
- Establish and maintain a rigorous, evidence-led framework to identify high-value data opportunities and architect scalable acquisition or generation pathways.
- Make and defend build-vs-buy-vs-partner decisions, and be accountable for the outcomes.
Data Acquisition & Asset Creation
- Set up and drive initiatives to acquire and build proprietary data assets including commercial licensing, academic and national lab collaborations, targeted experimental campaigns, high-throughput computational generation, and internal lab data generation.
- Scope, stand up and oversee data generation programmes end to end, from experimental design and cost model through to delivery of ML-ready assets.
- Build and maintain a pipeline of prospective data partners across industry, academia, instrument and simulation vendors, and commercial data providers.
Key collaborators
- Own the relationship with our research leads: understanding their data and codesigning data strategies in their research areas
- Identify, evaluate and propose new data partnerships and deals to our Partnerships team, arriving with a clear thesis on strategic value, data quality, exclusivity, cost and integration effort.
- Collaborate with Finance on the data budget allocating spends against strategic priority and expected return.
- Design and run the data request process - how requests are submitted, triaged, prioritised, resourced and tracked
- Act as the single point of accountability for data commitments made to the research organisation.
Leadership
- Lead, grow and develop the Data team, spanning data acquisition, curation, data architecture and data engineering.
- Set the standards for data quality, provenance and interoperability that the team works to, and hold the bar.
- Represent CuspAI's data work to external partners, research collaborators, and across the company
MUST HAVE SKILLS AND QUALIFICATIONS:
- Substantial experience owning data strategy or a data acquisition function at a research-intensive organisation - a frontier AI lab, a deep-tech or materials/chemicals/energy company, a national lab, or a research institute - with clear accountability for outcomes rather than execution alone.
- PhD in Chemistry, Physics, Materials Science, Chemical Engineering, Computational Chemist